amazon pmii · london · 6 natural languages

AI systems
teams can trust
in production.

PM II at Amazon and an active open-source contributor across the AI infrastructure stack. Day job: leading production ML and Gen AI programs across European operations — agentic-AI system in production (internal hackathon, Most Innovative 2026), 9-figure annualized impact across multiple ML launches. Public record: 28 merged upstream PRs across HuggingFace, Docling, LlamaIndex, LiteLLM, and the agent-tooling stack — direct contributions to Anthropic, OpenAI, and Microsoft codebases. HKU law + business, St. Gallen Master's magna cum laude, three continents, six natural languages.

amazon · accenture · pwc · 3 continents · english · 中文 · 粵語 · español · français · português
01 — selected work · amazon

Three distinct programs, three different shapes of impact.

2022 – present
▲ MOST INNOVATIVE · 2026 Agentic AI for operations planning >1,400 hrs / year of manual work eliminated LLM intake + deterministic prep + async AWS orchestration internal AI hackathon · most innovative · 2026

Agentic AI for operations planning

Won Most Innovative Solution, 2026 at an internal Amazon AI hackathon. Built an agentic system that automates experiment setup and analysis — LLM-assisted intake over schema-disciplined deterministic preprocessing of 1–5 GB experiment bundles, plus async AWS-native orchestration. Eliminates >1,400 hours/year of recurring manual work; live in production.

gen ai agentic pydantic aws-native in production
PRODUCTION ML · DECISION SYSTEMS 9-figure annualized impact · modeled, multi-year ▸ continent-scale operating network ▸ 50+ dynamic inputs · 30+ metrics modeled ▸ BRDs · launch ownership · eval loops ▸ live-metric validation, not backtest ▲ amazon · pm II · london · since 2022

Production ML decision systems

Owner of BRDs, launches, and the simulation + eval loops behind production ML decision systems running on a continent-scale operating network · hundreds of nodes across multiple countries. Modeled across 50+ dynamic inputs and 30+ operational metrics, with node-level parameter changes affecting six-figure weekly events. Two production launches in 2025 produced record reliability gains, validated on live metrics, not backtests. 9-figure annualized impact (modeled, multi-year).

ml policy simulation live metrics
CROSS-SYSTEM · PROGRAM DELIVERY 8-figure annualized impact · multi-year ▸ multi-system integration programs ▸ millions of automated decisions / week ▸ rollout · audit · instrumentation ▸ active: cross-team integration pilot ▲ multi-year cumulative · 9-figure career

Cross-system program delivery at scale

Owner of optimization-driven programs running at network scale — millions of automated decisions per week, multi-system integration across planning, audit, and instrumentation pipelines. Coordinated across research, engineering, and operating teams; rolled out to live production. 8-figure annualized impact. Active work: a cross-team systems-integration pilot.

program delivery multi-system production rollout
02 — open source

Open-source contributions across the AI infrastructure stack.

03 — side projects

Other things I've built on the side.

public urls · in development
04 — background

Three continents, six languages, one operating thesis.

education · work · footprint

I started in Hong Kong with dual LLB + BBA degrees at HKU, did a magna cum laude master's in Strategy & International Management at St. Gallen with a GenAI thesis on LLMs, agents, and governance, exchanged in Bogotá and Santiago, led an NGO in Guatemala, consulted out of Beijing with Accenture (market-entry strategy, Oracle ERP migration, ML revenue modeling) and Shanghai with PwC (SAP system integration), and joined Amazon as a Business Analyst in Luxembourg before rotating to the L5 PM II role in London in 2024.

The legal training shapes how I build AI: not as unconstrained generation engines, but as systems operating inside explicit rules, authorities, and validation layers. The international footprint shapes the operator habit: most of a program is translation — of constraints between teams, of intent between locales, of model behavior between markets.

AWS Certified AI Practitioner · 2025 AWS Certified Cloud Practitioner · 2022 3× AWS-certified stack

leadership · DEI · cross-cultural teams

  • Mentorship — every intern and direct mentee at Amazon to date has received a return offer.
  • Cross-cultural delivery — operated and shipped across 3 continents and 6 natural languages: consulting tenure across Greater China (Beijing + Shanghai), master's-era projects in Latin America, current EU operations leadership.
  • ERG involvement — active in Glamazon and the Asian & Latino affinity groups at Amazon.
  • NGO leadership — led Niños de Xela for one year. Sustainable agricultural-product diversification and long-term business-model design with underprivileged indigenous women in Quetzaltenango, Guatemala. Main speaker and point of contact during in-country fieldwork; organized fundraising events.

master's thesis · st. gallen · 2024

A systems view of generative AI in no-code / low-code development — built around LLMs, agents, and governance rather than prompt theater.
Supervisor: Dr. Edona Elshan · graded magna cum laude
50K+reddit entries · chained pipeline
3pillars · LLMs · agents · governance
Pydanticagent coordination layer
working thesis The next decade of AI is won by the teams that make capability claims honest. Capabilities are the input. The eval loop is the product.
work
education
footprint
past current
europe
  • 🇬🇧LondonUK
    2024 — present
  • 🇱🇺LuxembourgLU
    amazon · business analyst
  • 🇨🇭St. GallenCH
    master's · magna cum laude
asia
  • 🇭🇰Hong KongHK
    hku · llb + bba
  • 🇨🇳BeijingCN
    accenture · consultant
  • 🇨🇳ShanghaiCN
    pwc · consultant · sap
latin america
  • 🇨🇴BogotáCO
    u. de los andes · master exchange
  • 🇬🇹QuetzaltenangoGT
    niños de xela · 1-yr ngo lead
  • 🇨🇱SantiagoCL
    u. católica · undergrad exchange
hover a city · london current
🇬🇧LondonUK
2024 — present · pm II

Amazon PM II. Production ML & Gen AI programs across European operations. Active OSS contributor across the AI infrastructure stack — direct in-flight contributions to Anthropic Cookbooks and the Anthropic Go SDK.

🇱🇺LuxembourgLU
amazon · business analyst

Amazon Business Analyst. Analytics, automation, and cloud-planning work across EU operations finance. Foundation for the later return to Amazon at PM II.

🇨🇭St. GallenCH
master's · magna cum laude

University of St. Gallen — MA Strategy & International Management. GenAI thesis on LLMs, agents, and governance: chained pipeline over 50K+ Reddit entries with Pydantic-coordinated agents.

🇭🇰Hong KongHK
hku · llb + bba

The University of Hong Kong — dual LLB + BBA. Scholarships and debating-society leadership. Legal training that shapes how I build AI systems: explicit rules, authorities, validation layers.

🇨🇳BeijingCN
accenture · consultant

Accenture Consultant. Three engagement areas: China market-entry strategy for global liquor clients; Oracle ERP integration and migration for a major electronics manufacturer; revenue-strategy modeling using ML. Cross-cultural delivery at large-org scale.

🇨🇳ShanghaiCN
pwc · consultant · sap

PwC Consultant. SAP system integration and migration across Greater China clients. Trilingual delivery in English / 中文 / 粵語.

🇨🇴BogotáCO
u. de los andes · master exchange

Universidad de los Andes — master's exchange. Latin American economy, accounting rules, and business context. Spanish + Portuguese operating range deepened.

🇬🇹QuetzaltenangoGT
niños de xela · 1-yr ngo lead

Year-long lead of Niños de Xela — sustainable agricultural-product diversification and long-term business-model design with underprivileged indigenous women in Quetzaltenango. Main speaker and point of contact during in-country fieldwork; organized fundraising events.

🇨🇱SantiagoCL
u. católica · undergrad exchange

Pontificia Universidad Católica de Chile — undergrad exchange. Sharpened cross-cultural operating range and Latin American context for early business-strategy work.

05 — contact